Neural Style Transfer
it is basically an optimization technique used to take two images - one content image and the other one is the style reference image(Like the artwork of any Painter), and compose or blend them together so that output image looks like content image, but pianted in the style of the reference image.
Creating a slideshow in Jupyter Notebooks
Create slideshows from notebooks is one of my favorite features. You can see an example of a slideshow here introducing pandas for working with data.
Is There a Standard Heuristic for Model Tuning?
Training error should steadily decrease, steeply at first, and should eventually plateau as training converges.If the training has not converged, try running it for longer.
GitHub Student Developer Pack - Free Softwares
Here, Github gives us the opportunity to use this softwares for free in its Github Student Developer Pack. So, that you ship softwares like a pro. Github collaborated with many organisations and made this softwares available you for free.
Transfer Learning With MobileNetV2
In this notebook we will be learning how to use Transfer Learning to create the powerful convolutional neural network with a very little effort, with the help of MobileNetV2 developed by Google that has been trained on large dataset of images.
Terms to remember while building a Machine Learning Model
There are different terms we should remember while training our machine learning model, so that we can use our machine learning model more effectively and properly.
Machine Learning in Java Book
It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life.
Smart Internet of Things Projects Book
Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves.
Creating Tensors with different functions in Tensorflow
We can make the tensors from the known values. The tf package provides seven function which we can use to from tensors with known values. Constant,zeros,ones,fill etc.
Creating Tensors in Tensorflow
Every program we developed is started by declaring the variables, most Tensorflow applications we start developing is started by creating the tensors.
Exploring the Tensorflow
Once you install the Tensorflow, that contains the wide variety of files and folders. Two top level folders are particularly important. The core directory and the contrib directory.
The Evolution of Machine Learning
The development of Machine Learning started from very early. Different scientists and researchers hard work and research made much Machine Learning possible in a way we are learning now.